Open-Meteo Full Access MCP. Access 84 Years of Weather, Climate & Ocean Data
Open-Meteo Full Access delivers comprehensive weather and climate intelligence in one place. Use this MCP to run forecasts, check historical records spanning 84 years, model ocean currents, assess air quality pollutants, or project flood risk up to 2100. It's the single source for environmental data.
Give Claude and any AI agent real-world access
Model long-term environmental impacts by accessing IPCC climate projections and ensemble multi-model forecasts.
Get immediate data on air pollutants (PM2.5, Ozone) alongside pollen counts for health planning.
Pull hourly weather archives dating back to 1940 to identify long-term patterns and anomalies.
Track sea surface temperatures, wave heights, and deep ocean currents for maritime planning.
Determine potential flood risk by retrieving river discharge data with both historical reanalysis and forward projections.
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What AI agents can do with Open-Meteo Full Access: 15 Tools
These tools let your agent perform every specific check you need, from finding elevation to predicting pollution levels.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Open-Meteo Full Access MCPGet Weather Forecast
Retrieves a standard weather forecast for any given location over the next 16 days.
Get Climate Projection
Accesses IPCC model data to show expected climate changes between 2015 and 2100.
Get Ensemble Forecast
Generates a multi-model probabilistic forecast, showing the range of possible...
Get River Discharge
Provides river discharge data at 5km resolution for flood risk assessment.
Get Flood Forecast
Issues a detailed flood forecast, projecting water levels up to seven months in...
Search Location
Searches global databases to pinpoint specific cities and coordinates for any query.
Get Elevation
Determines the terrain elevation (altitude) at precise geographical coordinates.
Get Current Weather
Retrieves the real-time, current weather conditions for a specified location.
Get Historical Weather
Pulls comprehensive hourly weather data covering an 84-year period (1940–present).
Get Historical Daily
Retrieves summarized daily aggregates of historical weather metrics.
Get Marine Forecast
Generates a detailed marine wave forecast, including swell height and period at 5km...
Get Ocean Currents
Provides data on ocean currents and sea surface temperature across the water body.
Get Air Quality
Calculates concentrations of various pollutants, including PM2.5, Ozone, and Nitrogen Dioxide.
Get Aqi Index
Provides the Air Quality Index using both European and US standard metrics.
Get Pollen Forecast
Delivers a specific forecast for pollen counts and general allergen levels.
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Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
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Start with Open-Meteo Full Access, then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.
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The pain of cross-referencing disparate climate data sets
Right now, if you need a full picture—say, planning an event near a river mouth in Southeast Asia—you open three different tabs. One for the current weather forecast; one to check NOAA's flood level predictions; and another to see local air quality metrics. You spend half your time copy-pasting coordinates between systems just to build a single risk matrix.
With this MCP, you define the location once. Your agent handles the cross-referencing automatically. It delivers an immediate summary that combines current conditions with flood potential and pollutant levels, giving you a complete picture without leaving your chat window.
Get full environmental context with Open-Meteo Full Access MCP
You no longer have to jump between services just to check basic conditions. Instead of using a simple forecast tool, you can instantly combine get_weather_forecast data with the specific pollen forecast and the 16-day outlook in one go.
This MCP is different because it treats environmental intelligence as a single dataset. It’s not just weather; it's water, air, earth, and time all packaged together.
What Open-Meteo Full Access MCP does for your AI
You don't need seven different services just to understand the weather. This MCP centralizes every major climate factor into one connection point. Instead of switching between separate APIs for air quality, historical records, and ocean conditions, your agent calls this service once. It gives you current forecasts for any spot, but it also lets you look deep into time: check 84 years of archived weather or model how river discharge might change over the next seven months.
Whether you're planning a yacht trip or building a climate risk assessment for real estate, everything—from global geocoding to pollen counts—is available through your AI client via Vinkius.
019d75e7-e372-7281-b585-f01ed99bc81d How to set up Open-Meteo Full Access MCP
The bottom line is that it gives your agent one endpoint to access every piece of environmental context imaginable.
First, specify the exact location and scope of the required environmental data (e.g., 'Singapore' for air quality or 'Mediterranean' for wave height).
Next, your agent selects the specific climate dimension needed—this could be current conditions, 16-day forecasts, or 84 years of historical weather.
Finally, you get a synthesized, actionable data packet covering all required metrics, allowing immediate insight without manual cross-referencing.
Who uses Open-Meteo Full Access MCP
Civil engineers needing flood modeling data, climatologists tracking long-term trends, and maritime operations managers planning routes across decades.
Runs comparisons between historical weather records and IPCC climate projections to model regional temperature shifts.
Calculates flood risk using river discharge data combined with geocoding for site planning.
Consolidates marine wave forecasts, ocean current speeds, and air quality reports into one trip assessment.
Benefits of connecting Open-Meteo Full Access MCP
Historical data depth: Use get_historical_weather to check conditions from 1940. You can track how seasonal patterns have shifted over eight decades.
Future-proofing decisions: Run climate risk scenarios by calling get_climate_projection, which maps out environmental changes right up through the year 2100.
Maritime planning: Consolidate your trip data using get_marine_forecast and get_ocean_currents. You'll know about waves and deep currents in one place.
Safety assessment: Combine air quality readings via get_air_quality with the specific pollen forecast to give users a full health picture for any location.
Comprehensive coverage: Instead of multiple tools, this MCP uses search_location first, then feeds coordinates into other tools like get_elevation or get_current_weather.
Open-Meteo Full Access MCP use cases
Planning an international research expedition
The agent needs to know the best time window. It uses get_historical_weather for a baseline, then checks get_aqi_index and get_pollen_forecast to confirm the air is safe, finally using get_elevation to map out altitude changes over the intended route.
Assessing infrastructure vulnerability
An engineer needs to check if a proposed coastal highway site can handle rising water levels. The agent uses get_flood_forecast and gets_ocean_currents to model potential long-term impacts based on current geography.
Analyzing crop yield patterns
A farmer wants to know which years were ideal. They use get_historical_daily to aggregate temperature and rainfall data over decades, allowing them to compare past success against future predictions from get_climate_projection.
Modeling yacht routes
The agent builds a full briefing for a trip by combining the 16-day weather forecast (get_weather_forecast) with real-time marine data using get_marine_forecast and checking the local air safety status.
Open-Meteo Full Access MCP tradeoffs
What to watch out for, and the recommended way to handle each one.
Searching manually for historical records
A user might try to check 1950s rain totals by opening a government archive website, spending hours cross-referencing dates and formats.
Use get_historical_weather or get_historical_daily. These tools pull the raw data directly into your agent's workflow, saving hours of manual searching.
Forgetting to check elevation changes
A logistics planner plans a ground route but only checks current weather, missing that the required altitude change will affect vehicle performance.
Always run get_elevation first. This provides the necessary terrain data needed before running any other specialized forecast or planning tool.
Ignoring multi-year variability
A researcher only checks last year's weather, concluding that current patterns are normal when they are actually part of a larger 50-year trend.
To get context, run the full spectrum: check get_historical_weather and then compare it directly against the long-term models provided by get_climate_projection.
When to use Open-Meteo Full Access MCP
Use this MCP if your analysis requires data that spans multiple environmental domains—you need more than just a forecast. Specifically, you must correlate weather with other variables like pollution (get_air_quality), water levels (get_flood_forecast), or long-term trends (get_climate_projection). Don't use it if you only need to know the current temperature; for that, get_current_weather is enough. If your goal is simply a one-time trip forecast without environmental context, you might be overcomplicating things. However, because this tool contains location search (search_location), historical archives, and future modeling, it remains the most comprehensive choice.
Frequently asked questions about Open-Meteo Full Access MCP
Does Open-Meteo Full Access MCP cover historical data for every metric? +
Yes. You can access 84 years of hourly weather records using get_historical_weather, and also run specialized checks like get_historical_daily to aggregate specific metrics.
How far into the future can I predict climate change with Open-Meteo Full Access MCP? +
The tool provides access to IPCC projections that model climate changes all the way up to the year 2100, giving you long-term data for risk assessment.
Can I get wave and current data together using Open-Meteo Full Access MCP? +
Absolutely. Use get_marine_forecast to check wave heights alongside get_ocean_currents to understand the full dynamics of a body of water.
Is the flood risk prediction from Open-Meteo Full Access MCP reliable for construction? +
The tool provides get_river_discharge data, which combines 40 years of reanalysis with seven months forward projection. This is designed specifically for assessing structural vulnerability.
What if I need to find coordinates before running any forecast on Open-Meteo Full Access MCP? +
Start by using search_location. It finds global cities and points, which you can then feed into any other tool like get_current_weather or get_elevation.